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Association between SNPs in microRNA machinery genes and gastric cancer susceptibility, invasion, and metastasis in Chinese Han population

OBJECTIVE: The present study investigates the influence of genetic variants in miRNA machinery genes (DROSHA, DICER, AGO1, and GEMIN4) on gastric cancer in Chinese Han population, further revealing the genetic mechanisms of gastric cancer occurrence and development. METHODS: Genotyping of single nuc...

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Autores principales: Song, Xingbo, Zhong, Huiyu, Wu, Qian, Wang, Minjin, Zhou, Juan, Zhou, Yi, Lu, Xiaojun, Ying, Binwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5689696/
https://www.ncbi.nlm.nih.gov/pubmed/29156806
http://dx.doi.org/10.18632/oncotarget.21199
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author Song, Xingbo
Zhong, Huiyu
Wu, Qian
Wang, Minjin
Zhou, Juan
Zhou, Yi
Lu, Xiaojun
Ying, Binwu
author_facet Song, Xingbo
Zhong, Huiyu
Wu, Qian
Wang, Minjin
Zhou, Juan
Zhou, Yi
Lu, Xiaojun
Ying, Binwu
author_sort Song, Xingbo
collection PubMed
description OBJECTIVE: The present study investigates the influence of genetic variants in miRNA machinery genes (DROSHA, DICER, AGO1, and GEMIN4) on gastric cancer in Chinese Han population, further revealing the genetic mechanisms of gastric cancer occurrence and development. METHODS: Genotyping of single nucleotide polymorphisms (SNPs) was performed in 628 patients with GC and 502 frequency-matched (age and gender) controls by the high resolution melting (HRM) method. RESULTS: The SNPs rs3742330 (DICER) and rs7813 (GEMIN4) were associated with susceptibility to gastric cancer (P = 0.002 and 0.010, respectively). Stratified analysis showed that the G allele of rs3742330 and genotype TT as well as T allele of rs7813 were associated with a later stage of gastric cancer (P=0.027, 0.032 and 0.018, respectively). Furthermore, the genotype TT and T allele of rs7813 appeared to be associated with a higher level of lymphatic metastasis of gastric cancer (P=0.021 and 0.030, respectively), while the genotype AA and A allele of rs636832 (AGO1) were correlated with a lower level of lymphatic metastasis of gastric cancer (P=0.016 and 0.041, respectively). There was no significant association between rs10719 (DROSHA) and gastric cancer. CONCLUSION: The present data demonstrated that genetic variants in miRNA machinery genes had a significant association with GC susceptibility (DICER and GEMIN4) and malignant behavior such as tumor stage (DICER and GEMIN4) and lymphatic metastasis of GC (GEMIN4 and AGO1) in Chinese Han population.
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spelling pubmed-56896962017-11-17 Association between SNPs in microRNA machinery genes and gastric cancer susceptibility, invasion, and metastasis in Chinese Han population Song, Xingbo Zhong, Huiyu Wu, Qian Wang, Minjin Zhou, Juan Zhou, Yi Lu, Xiaojun Ying, Binwu Oncotarget Research Paper OBJECTIVE: The present study investigates the influence of genetic variants in miRNA machinery genes (DROSHA, DICER, AGO1, and GEMIN4) on gastric cancer in Chinese Han population, further revealing the genetic mechanisms of gastric cancer occurrence and development. METHODS: Genotyping of single nucleotide polymorphisms (SNPs) was performed in 628 patients with GC and 502 frequency-matched (age and gender) controls by the high resolution melting (HRM) method. RESULTS: The SNPs rs3742330 (DICER) and rs7813 (GEMIN4) were associated with susceptibility to gastric cancer (P = 0.002 and 0.010, respectively). Stratified analysis showed that the G allele of rs3742330 and genotype TT as well as T allele of rs7813 were associated with a later stage of gastric cancer (P=0.027, 0.032 and 0.018, respectively). Furthermore, the genotype TT and T allele of rs7813 appeared to be associated with a higher level of lymphatic metastasis of gastric cancer (P=0.021 and 0.030, respectively), while the genotype AA and A allele of rs636832 (AGO1) were correlated with a lower level of lymphatic metastasis of gastric cancer (P=0.016 and 0.041, respectively). There was no significant association between rs10719 (DROSHA) and gastric cancer. CONCLUSION: The present data demonstrated that genetic variants in miRNA machinery genes had a significant association with GC susceptibility (DICER and GEMIN4) and malignant behavior such as tumor stage (DICER and GEMIN4) and lymphatic metastasis of GC (GEMIN4 and AGO1) in Chinese Han population. Impact Journals LLC 2017-09-23 /pmc/articles/PMC5689696/ /pubmed/29156806 http://dx.doi.org/10.18632/oncotarget.21199 Text en Copyright: © 2017 Song et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Song, Xingbo
Zhong, Huiyu
Wu, Qian
Wang, Minjin
Zhou, Juan
Zhou, Yi
Lu, Xiaojun
Ying, Binwu
Association between SNPs in microRNA machinery genes and gastric cancer susceptibility, invasion, and metastasis in Chinese Han population
title Association between SNPs in microRNA machinery genes and gastric cancer susceptibility, invasion, and metastasis in Chinese Han population
title_full Association between SNPs in microRNA machinery genes and gastric cancer susceptibility, invasion, and metastasis in Chinese Han population
title_fullStr Association between SNPs in microRNA machinery genes and gastric cancer susceptibility, invasion, and metastasis in Chinese Han population
title_full_unstemmed Association between SNPs in microRNA machinery genes and gastric cancer susceptibility, invasion, and metastasis in Chinese Han population
title_short Association between SNPs in microRNA machinery genes and gastric cancer susceptibility, invasion, and metastasis in Chinese Han population
title_sort association between snps in microrna machinery genes and gastric cancer susceptibility, invasion, and metastasis in chinese han population
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5689696/
https://www.ncbi.nlm.nih.gov/pubmed/29156806
http://dx.doi.org/10.18632/oncotarget.21199
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